Fractional Block Audio Processing Reducing Latency
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Solution Overview
Problem
Real-time audio/video processing systems face challenges with computational latency and variability in decoding/decompressing media files, leading to inconsistent latency and poor processor utilization due to serial data processing on block samples.
Innovation Solution
The system employs a fractional block of samples to control input/output timing with finer granularity, reducing latency while maintaining block processing performance, and uses a framework architecture to manage buffers effectively, allowing for more flexible latency adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If block processing is used to improve processor utilization, then productivity increases, but latency increases
Solution Approach 1:
The patent segments the processing into fractional blocks rather than complete blocks. By dividing the traditional block-based processing into smaller fractional units, the system can process data in finer increments, reducing the time delay (latency) while still maintaining the efficiency benefits of block processing through the framework architecture.
Solution Approach 2:
The patent introduces dynamic latency adjustment capabilities. The framework allows the system to adaptively control latency by adjusting processing parameters in real-time, enabling flexible trade-offs between processor utilization and latency based on actual system conditions and requirements.
2Device complexity
If serial processing is used to maintain simple architecture, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The patent merges multiple processing operations into a unified framework architecture that handles both serial and parallel processing operations. This integrated framework combines the simplicity of serial processing with the efficiency of parallel processing, allowing the system to maintain architectural simplicity while achieving high processor utilization through coordinated processing operations.
3Adaptability or versatility
If variable compression techniques are used to improve adaptability, then adaptability increases, but latency variability increases
Solution Approach 1:
The patent implements feedback mechanisms within the framework architecture that monitor and adjust processing parameters in real-time. This feedback system compensates for latency variations caused by variable compression techniques by dynamically adjusting processing timing and parameters, maintaining consistent latency performance while preserving adaptability to different compression methods.
Data Source
AI summary
A method and apparatus for processing encoded audio data that operates on batches of data having a predetermined time block size. An input/output memory buffer provides a delay from input to corresponding output of 2+x time blocks where x is a predetermined constant and 0<x<1.


